Results 1 to 10 of about 402,654 (239)

pynucastro 2.1: an update on the development of a python library for nuclear astrophysics [PDF]

arXiv, 2023
pynucastro is a python library that provides visualization and analyze techniques to classify, construct, and evaluate nuclear reaction rates and networks. It provides tools that allow users to determine the importance of each rate in the network, based on a specified list of thermodynamic properties. Additionally, pynucastro can output a network in C++
Boyd, Brendan, Chen, Zhi, Clark, Alexander Smith, DaCosta, Luis Rangel, Eiden, Kiran, Johnson, Eric T., Johnson, Parker T., Zingale, Michael   +7 more
arxiv   +5 more sources

Programming biological models in Python using PySB [PDF]

Molecular Systems Biology, 2013
Mathematical equations are fundamental to modeling biological networks, but as networks get large and revisions frequent, it becomes difficult to manage equations directly or to combine previously developed models. Multiple simultaneous efforts to create
Carlos F Lopez, Jeremy L Muhlich, John A Bachman, Peter K Sorger   +3 more
doaj   +3 more sources

Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models [PDF]

Proc. ACM Softw. Eng.
Pythonic idioms are highly valued and widely used in the Python programming community. However, many Python users find it challenging to use Pythonic idioms. Adopting a rule-based approach or LLM-only approach is not sufficient to overcome three persistent challenges of code idiomatization including code miss, wrong detection and wrong refactoring ...
Lu, Qinghua, Ren, Xiaoxue, Xing, Zhenchang, Xu, Xiwei, Zhang, Zejun   +4 more
arxiv   +5 more sources

KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories [PDF]

Biomolecules
We present KnowVID-19, a knowledge-based system that assists medical researchers and scientists in extracting targeted information quickly and efficiently from online medical literature repositories, such as PubMed, PubMed Central, and other biomedical ...
Muzzamil Aziz, Ioana Popa, Amjad Zia, Andreas Fischer, Sabih Ahmed Khan, Amirreza Fazely Hamedani, Abdul R. Asif   +6 more
doaj   +3 more sources

A Python library for computing individual and merged non-CO₂ algorithmic climate change functions: CLIMaCCF V1.0 [PDF]

Geoscientific Model Development, 2023
Aviation aims to reduce its climate effect by adopting trajectories that avoid regions of the atmosphere where aviation emissions have a large impact.
S. Dietmüller, S. Matthes, K. Dahlmann, H. Yamashita, A. Simorgh, M. Soler, F. Linke, F. Linke, B. Lührs, M. M. Meuser, M. M. Meuser, C. Weder, V. Grewe, V. Grewe, F. Yin, F. Castino   +15 more
doaj   +2 more sources

A Library for Representing Python Programs as Graphs for Machine Learning [PDF]

arXiv, 2022
Graph representations of programs are commonly a central element of machine learning for code research. We introduce an open source Python library python_graphs that applies static analysis to construct graph representations of Python programs suitable for training machine learning models.
David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent J. Hellendoorn, Daniel D. Johnson, Daniel Tarlow   +6 more
arxiv   +3 more sources

ICET – A Python Library for Constructing and Sampling Alloy Cluster Expansions [PDF]

Advanced Theory and Simulations, 2019
AbstractAlloy cluster expansions (CEs) provide an accurate and computationally efficient mapping of the potential energy surface of multi‐component systems that enables comprehensive sampling of the many‐dimensional configuration space. Here, integrated cluster expansion toolkit (ICET), a flexible, extensible, and computationally efficient software ...
Mattias Ångqvist, William A. Muñoz, J. Magnus Rahm, Erik Fransson, Céline Durniak, Piotr Rozyczko, Thomas H. Rod, Paul Erhart   +7 more
openaire   +5 more sources

PeptideBuilder: A simple Python library to generate model peptides [PDF]

PeerJ, 2013
We present a simple Python library to construct models of polypeptides from scratch. The intended use case is the generation of peptide models with pre-specified backbone angles.
Matthew Z. Tien, Dariya K. Sydykova, Austin G. Meyer, Claus O. Wilke   +3 more
doaj   +3 more sources

TensorKrowch: Smooth integration of tensor networks in machine learning [PDF]

Quantum, 2023
Tensor networks are factorizations of high-dimensional tensors into networks of smaller tensors. They have applications in physics and mathematics, and recently have been proposed as promising machine learning architectures.
José Ramón Pareja Monturiol, David Pérez-García, Alejandro Pozas-Kerstjens   +2 more
doaj   +3 more sources

Spatial distribution analysis and driving factors of traditional villages in Henan province: a comprehensive approach via geospatial techniques and statistical models

Heritage Science, 2023
Traditional villages are repositories for preserving human artifacts and cultural heritage. An investigation of the spatial distribution characteristics and factors influencing traditional villages in provincial administrative regions can provide new ...
Wenxiang Liu, Ying Xue, Cun Shang
doaj   +2 more sources